{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNUbs4UV0B7QPzazKSlBDwB",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Reem-Aboutaleb/multimodal-stress-detection/blob/main/04_Model_Training.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Load the extracted advanced features CSV\n",
        "df = pd.read_csv(\"extracted_features_advanced.csv\")\n",
        "\n",
        "# Simulate 50 slightly varied rows using Gaussian noise\n",
        "rows = []\n",
        "for i in range(50):\n",
        "    noisy_row = df.iloc[0].copy()\n",
        "    noise = np.random.normal(0, 0.1, len(noisy_row))\n",
        "    noisy_row += noise\n",
        "    rows.append(noisy_row)\n",
        "\n",
        "df = pd.DataFrame(rows)\n",
        "df['label'] = [0]*17 + [1]*17 + [2]*16  # Balanced across 3 classes\n",
        "\n",
        "# Separate features and target\n",
        "X = df.drop(columns=['label'])\n",
        "y = df['label']\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X, y, test_size=0.3, random_state=42\n",
        ")\n",
        "clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
        "clf.fit(X_train, y_train)\n",
        "y_pred = clf.predict(X_test)\n",
        "\n",
        "print(\"🔍 Classification Report:\")\n",
        "print(classification_report(y_test, y_pred))\n",
        "\n",
        "# Confusion Matrix\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n",
        "            xticklabels=['Baseline', 'Stress', 'Amused'],\n",
        "            yticklabels=['Baseline', 'Stress', 'Amused'])\n",
        "\n",
        "plt.title(\"Confusion Matrix\")\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.show()\n",
        "importances = clf.feature_importances_\n",
        "features = X.columns\n",
        "indices = np.argsort(importances)[::-1]\n",
        "\n",
        "plt.figure(figsize=(10, 5))\n",
        "sns.barplot(x=importances[indices], y=features[indices])\n",
        "plt.title(\"Feature Importance\")\n",
        "plt.xlabel(\"Importance Score\")\n",
        "plt.ylabel(\"Feature\")\n",
        "plt.show()\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "49jHx2lmUmsw",
        "outputId": "db6b90d2-f09f-4d6b-922a-a2fca79342c6"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "🔍 Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.67      0.40      0.50         5\n",
            "           1       0.44      0.67      0.53         6\n",
            "           2       0.00      0.00      0.00         4\n",
            "\n",
            "    accuracy                           0.40        15\n",
            "   macro avg       0.37      0.36      0.34        15\n",
            "weighted avg       0.40      0.40      0.38        15\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA8kAAAHWCAYAAABE08v+AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAcqJJREFUeJzt3Xt8z/X///H722ZvO8+cxowN22zMnM9liobQ0ielHAspc4xvfFCGzGkOSVQ+jD7SR86FhIgmZyskpzCVQ4nNcdP2+v1he/+827Cjt8Pterm8Lu31fL5ez+fj9XohD8/n6/kyGYZhCAAAAAAAqJCtAwAAAAAA4H5BkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0JMkAAAAAAKQjSQYAAAAAIB1JMgAAAAAA6UiSAQAAAABIR5IMAAAAAEA6kmQAAO4DsbGxMplMWW5DhgwpkD63bt2qkSNH6uLFiwXSfl5k3I9du3bZOpRc++CDDxQbG2vrMAAAOWRv6wAAAMD/N2rUKPn5+VmVVa1atUD62rp1q6KiotS1a1d5eHgUSB+Psg8++EDFixdX165dbR0KACAHSJIBALiPtGzZUrVr17Z1GHly5coVOTs72zoMm7l69aqcnJxsHQYAIJeYbg0AwANkzZo1euyxx+Ts7CxXV1c9/fTTOnDggNUxP/74o7p27aoKFSqoSJEi8vLy0iuvvKLz589bjhk5cqQGDx4sSfLz87NM7T5x4oROnDghk8mU5VRhk8mkkSNHWrVjMpn0008/6aWXXlLRokXVuHFjS/1///tf1apVS46OjvL09NSLL76oU6dO5erau3btKhcXFyUkJKh169ZycXGRt7e3ZsyYIUnat2+fnnjiCTk7O6t8+fL69NNPrc7PmMK9efNmvfbaaypWrJjc3NzUuXNnXbhwIVN/H3zwgapUqSKz2awyZcqod+/emaamh4WFqWrVqtq9e7cef/xxOTk56d///rd8fX114MABffvtt5Z7GxYWJkn666+/NGjQIIWEhMjFxUVubm5q2bKlfvjhB6u2N23aJJPJpEWLFundd99V2bJlVaRIET355JM6evRopni3b9+uVq1aqWjRonJ2dla1atU0bdo0q2N+/vln/etf/5Knp6eKFCmi2rVra+XKlTl9FADwUGMkGQCA+0hiYqL+/PNPq7LixYtLkj755BN16dJF4eHhGj9+vK5evaqZM2eqcePG2rt3r3x9fSVJ69at0y+//KJu3brJy8tLBw4c0EcffaQDBw5o27ZtMplMateunQ4fPqyFCxdqypQplj5KlCihP/74I8dxP//88/L399fYsWNlGIYk6d1339WIESPUvn17de/eXX/88YemT5+uxx9/XHv37s3VFO/U1FS1bNlSjz/+uCZMmKAFCxYoMjJSzs7OGjZsmF5++WW1a9dOs2bNUufOndWgQYNM09cjIyPl4eGhkSNH6tChQ5o5c6ZOnjxpSUqlm8l/VFSUmjVrptdff91y3M6dOxUXF6fChQtb2jt//rxatmypF198UR07dlSpUqUUFhamPn36yMXFRcOGDZMklSpVSpL0yy+/aPny5Xr++efl5+ens2fP6sMPP1STJk30008/qUyZMlbxjhs3ToUKFdKgQYOUmJioCRMm6OWXX9b27dstx6xbt06tW7dW6dKl1a9fP3l5eengwYP68ssv1a9fP0nSgQMH1KhRI3l7e2vIkCFydnbWokWLFBERoSVLlujZZ5/N8fMAgIeSAQAAbG7u3LmGpCw3wzCMS5cuGR4eHkaPHj2szjtz5ozh7u5uVX716tVM7S9cuNCQZGzevNlSNnHiREOScfz4catjjx8/bkgy5s6dm6kdScY777xj2X/nnXcMSUaHDh2sjjtx4oRhZ2dnvPvuu1bl+/btM+zt7TOV3+5+7Ny501LWpUsXQ5IxduxYS9mFCxcMR0dHw2QyGZ999pml/Oeff84Ua0abtWrVMlJSUizlEyZMMCQZK1asMAzDMM6dO2c4ODgYTz31lJGammo57v333zckGXPmzLGUNWnSxJBkzJo1K9M1VKlSxWjSpEmm8uvXr1u1axg377nZbDZGjRplKdu4caMhyQgKCjKSk5Mt5dOmTTMkGfv27TMMwzD+/vtvw8/Pzyhfvrxx4cIFq3bT0tIsPz/55JNGSEiIcf36dav6hg0bGv7+/pniBIBHFdOtAQC4j8yYMUPr1q2z2qSbI4UXL15Uhw4d9Oeff1o2Ozs71atXTxs3brS04ejoaPn5+vXr+vPPP1W/fn1J0p49ewok7l69elntL126VGlpaWrfvr1VvF5eXvL397eKN6e6d+9u+dnDw0OBgYFydnZW+/btLeWBgYHy8PDQL7/8kun8nj17Wo0Ev/7667K3t9fq1aslSevXr1dKSor69++vQoX+/1+VevToITc3N61atcqqPbPZrG7dumU7frPZbGk3NTVV58+fl4uLiwIDA7N8Pt26dZODg4Nl/7HHHpMky7Xt3btXx48fV//+/TONzmeMjP/111/65ptv1L59e126dMnyPM6fP6/w8HAdOXJEv/32W7avAQAeZky3BgDgPlK3bt0sF+46cuSIJOmJJ57I8jw3NzfLz3/99ZeioqL02Wef6dy5c1bHJSYm5mO0/98/pzQfOXJEhmHI398/y+NvTVJzokiRIipRooRVmbu7u8qWLWtJCG8tz+pd43/G5OLiotKlS+vEiROSpJMnT0q6mWjfysHBQRUqVLDUZ/D29rZKYu8mLS1N06ZN0wcffKDjx48rNTXVUlesWLFMx5crV85qv2jRopJkubZjx45JuvMq6EePHpVhGBoxYoRGjBiR5THnzp2Tt7d3tq8DAB5WJMkAADwA0tLSJN18L9nLyytTvb39//9fevv27bV161YNHjxY1atXl4uLi9LS0tSiRQtLO3fyz2Qzw63J3D/dOnqdEa/JZNKaNWtkZ2eX6XgXF5e7xpGVrNq6U7mR/n50Qfrntd/N2LFjNWLECL3yyisaPXq0PD09VahQIfXv3z/L55Mf15bR7qBBgxQeHp7lMZUqVcp2ewDwMCNJBgDgAVCxYkVJUsmSJdWsWbPbHnfhwgVt2LBBUVFRevvtty3lGSPRt7pdMpwxUvnPlZz/OYJ6t3gNw5Cfn58CAgKyfd69cOTIETVt2tSyf/nyZZ0+fVqtWrWSJJUvX16SdOjQIVWoUMFyXEpKio4fP37H+3+r293fxYsXq2nTpvrPf/5jVX7x4kXLAmo5kfFrY//+/beNLeM6ChcunO34AeBRxTvJAAA8AMLDw+Xm5qaxY8fqxo0bmeozVqTOGHX85yjj1KlTM52T8S3jfybDbm5uKl68uDZv3mxV/sEHH2Q73nbt2snOzk5RUVGZYjEMw+pzVPfaRx99ZHUPZ86cqb///lstW7aUJDVr1kwODg567733rGL/z3/+o8TERD399NPZ6sfZ2TnTvZVuPqN/3pPPP/881+8E16xZU35+fpo6dWqm/jL6KVmypMLCwvThhx/q9OnTmdrIzYrmAPCwYiQZAIAHgJubm2bOnKlOnTqpZs2aevHFF1WiRAklJCRo1apVatSokd5//325ublZPo9048YNeXt76+uvv9bx48cztVmrVi1J0rBhw/Tiiy+qcOHCatOmjZydndW9e3eNGzdO3bt3V+3atbV582YdPnw42/FWrFhRY8aM0dChQ3XixAlFRETI1dVVx48f17Jly9SzZ08NGjQo3+5PTqSkpOjJJ59U+/btdejQIX3wwQdq3Lix2rZtK+nmZ7CGDh2qqKgotWjRQm3btrUcV6dOHXXs2DFb/dSqVUszZ87UmDFjVKlSJZUsWVJPPPGEWrdurVGjRqlbt25q2LCh9u3bpwULFliNWudEoUKFNHPmTLVp00bVq1dXt27dVLp0af388886cOCA1q5dK+nmonCNGzdWSEiIevTooQoVKujs2bP6/vvv9euvv2b6TjMAPKpIkgEAeEC89NJLKlOmjMaNG6eJEycqOTlZ3t7eeuyxx6xWV/7000/Vp08fzZgxQ4Zh6KmnntKaNWsyfX+3Tp06Gj16tGbNmqWvvvpKaWlpOn78uJydnfX222/rjz/+0OLFi7Vo0SK1bNlSa9asUcmSJbMd75AhQxQQEKApU6YoKipKkuTj46OnnnrKkpDawvvvv68FCxbo7bff1o0bN9ShQwe99957VtOjR44cqRIlSuj999/XgAED5OnpqZ49e2rs2LHZXnTs7bff1smTJzVhwgRdunRJTZo00RNPPKF///vfunLlij799FP973//U82aNbVq1SoNGTIk19cUHh6ujRs3KioqSjExMUpLS1PFihXVo0cPyzHBwcHatWuXoqKiFBsbq/Pnz6tkyZKqUaOG1dR8AHjUmYx7saIFAACAjcXGxqpbt27auXNnliuIAwAg8U4yAAAAAAAWJMkAAAAAAKQjSQYAAAAAIB3vJAMAAAAAkI6RZAAAAAAA0pEkAwAAAACQju8k44GWlpam33//Xa6urlbftwQAAADwaDEMQ5cuXVKZMmVUqFDux4NJkvFA+/333+Xj42PrMAAAAADcJ06dOqWyZcvm+nySZDzQXF1dJd38jeDm5mbjaAAAAADYSlJSknx8fCw5Qm6RJOOBljHF2s3NjSQZAAAAQJ5fwyRJxkPh8eELZWd2tHUYAAAAwCNj98TOtg6hQLC6NQAAAAAA6UiSAQAAAABIR5IMAAAAAEA6kmQAAAAAANKRJAMAAAAAkI4kGQAAAACAdCTJD6lNmzbJZDLp4sWLtg4FAAAAAB4YJMkAAAAAAKQjSQYAAAAAIB1J8gMiLS1N0dHR8vPzk6Ojo0JDQ7V48WJL/erVqxUQECBHR0c1bdpUJ06csDr//Pnz6tChg7y9veXk5KSQkBAtXLgw2/2HhYWpT58+6t+/v4oWLapSpUrp448/1pUrV9StWze5urqqUqVKWrNmjeWc1NRUvfrqq5aYAwMDNW3aNEv99evXVaVKFfXs2dNSduzYMbm6umrOnDm5uEsAAAAAkDckyQ+I6OhozZ8/X7NmzdKBAwc0YMAAdezYUd9++61OnTqldu3aqU2bNoqPj1f37t01ZMgQq/OvX7+uWrVqadWqVdq/f7969uypTp06aceOHdmOYd68eSpevLh27NihPn366PXXX9fzzz+vhg0bas+ePXrqqafUqVMnXb16VdLNxL5s2bL6/PPP9dNPP+ntt9/Wv//9by1atEiSVKRIES1YsEDz5s3TihUrlJqaqo4dO6p58+Z65ZVXsowhOTlZSUlJVhsAAAAA5BeTYRiGrYPAnSUnJ8vT01Pr169XgwYNLOXdu3fX1atX5evrqxUrVujAgQOWuiFDhmj8+PG6cOGCPDw8smy3devWqly5siZNmnTXGMLCwpSamqotW7ZIujlK7O7urnbt2mn+/PmSpDNnzqh06dL6/vvvVb9+/SzbiYyM1JkzZ6xGwSdOnKgJEyboxRdf1JIlS7Rv3z4VK1Ysy/NHjhypqKioTOWhfWbJzux41+sAAAAAkD92T+xs6xCsJCUlyd3dXYmJiXJzc8t1O/b5GBMKyNGjR3X16lU1b97cqjwlJUU1atTQtWvXVK9ePau6W5Np6WZSO3bsWC1atEi//fabUlJSlJycLCcnp2zHUa1aNcvPdnZ2KlasmEJCQixlpUqVkiSdO3fOUjZjxgzNmTNHCQkJunbtmlJSUlS9enWrdt98800tX75c77//vtasWXPbBFmShg4dqoEDB1r2k5KS5OPjk+1rAAAAAIA7IUl+AFy+fFmStGrVKnl7e1vVmc1m9e3b965tTJw4UdOmTdPUqVMVEhIiZ2dn9e/fXykpKdmOo3Dhwlb7JpPJqsxkMkm6Oc1akj777DMNGjRIMTExatCggVxdXTVx4kRt377dqp1z587p8OHDsrOz05EjR9SiRYvbxmA2m2U2m7MdMwAAAADkBEnyAyA4OFhms1kJCQlq0qRJpvqgoCCtXLnSqmzbtm1W+3FxcXrmmWfUsWNHSTcT2cOHDys4OLjA4o6Li1PDhg31xhtvWMqOHTuW6bhXXnlFISEhevXVV9WjRw81a9ZMQUFBBRYXAAAAANwOSfIDwNXVVYMGDdKAAQOUlpamxo0bKzExUXFxcXJzc1OvXr0UExOjwYMHq3v37tq9e7diY2Ot2vD399fixYu1detWFS1aVJMnT9bZs2cLNEn29/fX/PnztXbtWvn5+emTTz7Rzp075efnZzlmxowZ+v777/Xjjz/Kx8dHq1at0ssvv6xt27bJwcGhwGIDAAAAgKywuvUDYvTo0RoxYoSio6MVFBSkFi1aaNWqVfLz81O5cuW0ZMkSLV++XKGhoZo1a5bGjh1rdf7w4cNVs2ZNhYeHKywsTF5eXoqIiCjQmF977TW1a9dOL7zwgurVq6fz589bjSr//PPPGjx4sD744APLe8UffPCB/vzzT40YMaJAYwMAAACArLC6NR5oGSvYsbo1AAAAcG89rKtbM5IMAAAAAEA6kmQoISFBLi4ut90SEhJsHSIAAAAA3BMs3AWVKVNG8fHxd6wHAAAAgEcBSTJkb2+vSpUq2ToMAAAAALA5kmQ8FDaP6ZCnl/MBAAAAQOKdZAAAAAAALEiSAQAAAABIR5IMAAAAAEA6kmQAAAAAANKRJAMAAAAAkI7VrfFQeHz4QtmZHW0dBgAAAGBTuyd2tnUIDzxGkgEAAAAASEeSDAAAAABAOpJkAAAAAADSkSQDAAAAAJCOJBkAAAAAgHQkyQAAAAAApCNJfoRt2rRJJpNJFy9etHUoFidOnJDJZFJ8fLytQwEAAADwCCJJxj3RtWtXRURE2DoMAAAAALgjkmQAAAAAANKRJD9E0tLSFB0dLT8/Pzk6Oio0NFSLFy+21K9evVoBAQFydHRU06ZNdeLECavzz58/rw4dOsjb21tOTk4KCQnRwoULs93/4sWLFRISIkdHRxUrVkzNmjXTlStXNHLkSM2bN08rVqyQyWSSyWTSpk2bJEk7duxQjRo1VKRIEdWuXVt79+7Nj1sBAAAAALlib+sAkH+io6P13//+V7NmzZK/v782b96sjh07qkSJEqpQoYLatWun3r17q2fPntq1a5fefPNNq/OvX7+uWrVq6a233pKbm5tWrVqlTp06qWLFiqpbt+4d+z59+rQ6dOigCRMm6Nlnn9WlS5e0ZcsWGYahQYMG6eDBg0pKStLcuXMlSZ6enrp8+bJat26t5s2b67///a+OHz+ufv363bGf5ORkJScnW/aTkpJyebcAAAAAIDOS5IdEcnKyxo4dq/Xr16tBgwaSpAoVKui7777Thx9+KF9fX1WsWFExMTGSpMDAQO3bt0/jx4+3tOHt7a1BgwZZ9vv06aO1a9dq0aJF2UqS//77b7Vr107ly5eXJIWEhFjqHR0dlZycLC8vL0tZbGys0tLS9J///EdFihRRlSpV9Ouvv+r111+/bT/R0dGKiorKwZ0BAAAAgOwjSX5IHD16VFevXlXz5s2tylNSUlSjRg1du3ZN9erVs6rLSKYzpKamauzYsVq0aJF+++03paSkKDk5WU5OTnftPzQ0VE8++aRCQkIUHh6up556Sv/6179UtGjR255z8OBBVatWTUWKFLltTP80dOhQDRw40LKflJQkHx+fu8YHAAAAANlBkvyQuHz5siRp1apV8vb2tqozm83q27fvXduYOHGipk2bpqlTpyokJETOzs7q37+/UlJS7nqunZ2d1q1bp61bt+rrr7/W9OnTNWzYMG3fvl1+fn65u6gsmM1mmc3mfGsPAAAAAG7Fwl0PieDgYJnNZiUkJKhSpUpWm4+Pj4KCgrRjxw6rc7Zt22a1HxcXp2eeeUYdO3ZUaGioKlSooMOHD2c7BpPJpEaNGikqKkp79+6Vg4ODli1bJklycHBQamqq1fFBQUH68ccfdf369dvGBAAAAAD3EknyQ8LV1VWDBg3SgAEDNG/ePB07dkx79uzR9OnTNW/ePPXq1UtHjhzR4MGDdejQIX366aeKjY21asPf398yGnzw4EG99tprOnv2bLb63759u8aOHatdu3YpISFBS5cu1R9//KGgoCBJkq+vr3788UcdOnRIf/75p27cuKGXXnpJJpNJPXr00E8//aTVq1dr0qRJ+X1rAAAAACDbSJIfIqNHj9aIESMUHR2toKAgtWjRQqtWrZKfn5/KlSunJUuWaPny5QoNDdWsWbM0duxYq/OHDx+umjVrKjw8XGFhYfLy8lJERES2+nZzc9PmzZvVqlUrBQQEaPjw4YqJiVHLli0lST169FBgYKBq166tEiVKKC4uTi4uLvriiy+0b98+1ahRQ8OGDbNaSAwAAAAA7jWTYRiGrYMAcispKUnu7u4K7TNLdmZHW4cDAAAA2NTuiZ1tHYLNZOQGiYmJcnNzy3U7jCQDAAAAAJCOJBnZkpCQIBcXl9tuCQkJtg4RAAAAAPKMT0AhW8qUKaP4+Pg71gMAAADAg44kGdlib2+vSpUq2ToMAAAAAChQTLcGAAAAACAdI8l4KGwe0yFPK9gBAAAAgMRIMgAAAAAAFiTJAAAAAACkI0kGAAAAACAdSTIAAAAAAOlIkgEAAAAASMfq1ngoPD58oezMjrYOAwAAANDuiZ1tHQLygJFkAAAAAADSkSQDAAAAAJCOJBkAAAAAgHQkyQAAAAAApCNJBgAAAAAgHUkyAAAAAADpSJIfEZs2bZLJZNLFixcf6RgAAAAA4E5IknHPNGzYUKdPn5a7u7utQwEAAACALNnbOgA8OhwcHOTl5WXrMAAAAADgthhJfkClpaUpOjpafn5+cnR0VGhoqBYvXmypX716tQICAuTo6KimTZvqxIkTVuefP39eHTp0kLe3t5ycnBQSEqKFCxdmu/+wsDD16dNH/fv3V9GiRVWqVCl9/PHHunLlirp16yZXV1dVqlRJa9assZzzz+nWsbGx8vDw0Nq1axUUFCQXFxe1aNFCp0+fztO9AQAAAIDcIkl+QEVHR2v+/PmaNWuWDhw4oAEDBqhjx4769ttvderUKbVr105t2rRRfHy8unfvriFDhlidf/36ddWqVUurVq3S/v371bNnT3Xq1Ek7duzIdgzz5s1T8eLFtWPHDvXp00evv/66nn/+eTVs2FB79uzRU089pU6dOunq1au3bePq1auaNGmSPvnkE23evFkJCQkaNGjQbY9PTk5WUlKS1QYAAAAA+cVkGIZh6yCQM8nJyfL09NT69evVoEEDS3n37t119epV+fr6asWKFTpw4IClbsiQIRo/frwuXLggDw+PLNtt3bq1KleurEmTJt01hrCwMKWmpmrLli2SpNTUVLm7u6tdu3aaP3++JOnMmTMqXbq0vv/+e9WvX1+bNm1S06ZNLTHExsaqW7duOnr0qCpWrChJ+uCDDzRq1CidOXMmy35HjhypqKioTOWhfWbJzux417gBAACAgrZ7Ymdbh/BISkpKkru7uxITE+Xm5pbrdngn+QF09OhRXb16Vc2bN7cqT0lJUY0aNXTt2jXVq1fPqu7WZFq6mdSOHTtWixYt0m+//aaUlBQlJyfLyckp23FUq1bN8rOdnZ2KFSumkJAQS1mpUqUkSefOnbttG05OTpYEWZJKly59x+OHDh2qgQMHWvaTkpLk4+OT7ZgBAAAA4E5Ikh9Aly9fliStWrVK3t7eVnVms1l9+/a9axsTJ07UtGnTNHXqVIWEhMjZ2Vn9+/dXSkpKtuMoXLiw1b7JZLIqM5lMkm6+P52TNu40ucFsNstsNmc7RgAAAADICZLkB1BwcLDMZrMSEhLUpEmTTPVBQUFauXKlVdm2bdus9uPi4vTMM8+oY8eOkm4msocPH1ZwcHDBBQ4AAAAA9zmS5AeQq6urBg0apAEDBigtLU2NGzdWYmKi4uLi5Obmpl69eikmJkaDBw9W9+7dtXv3bsXGxlq14e/vr8WLF2vr1q0qWrSoJk+erLNnz5IkAwAAAHiksbr1A2r06NEaMWKEoqOjFRQUpBYtWmjVqlXy8/NTuXLltGTJEi1fvlyhoaGaNWuWxo4da3X+8OHDVbNmTYWHhyssLExeXl6KiIiwzcUAAAAAwH2C1a3xQMtYwY7VrQEAAHC/YHVr28iv1a0ZSQYAAAAAIB1JMjJJSEiQi4vLbbeEhARbhwgAAAAABYKFu5BJmTJlFB8ff8d6AAAAAHgYkSQjE3t7e1WqVMnWYQAAAADAPcd0awAAAAAA0jGSjIfC5jEd8rSCHQAAAABIjCQDAAAAAGBBkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0rG6Nh8LjwxfKzuxo6zAAAAAeSrsndrZ1CMA9w0gyAAAAAADpSJIBAAAAAEhHkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0JMkoECdOnJDJZMq0bdu2zeq4zz//XJUrV1aRIkUUEhKi1atX2yhiAAAAACBJRgFbv369Tp8+bdlq1aplqdu6das6dOigV199VXv37lVERIQiIiK0f/9+G0YMAAAA4FFGkvwICgsLU2RkpCIjI+Xu7q7ixYtrxIgRMgxDkuTr66uxY8fqlVdekaurq8qVK6ePPvrIcn7GKPHSpUvVtGlTOTk5KTQ0VN9//32mvooVKyYvLy/LVrhwYUvdtGnT1KJFCw0ePFhBQUEaPXq0atasqffff7/gbwIAAAAAZIEk+RE1b9482dvba8eOHZo2bZomT56s2bNnW+pjYmJUu3Zt7d27V2+88YZef/11HTp0yKqNYcOGadCgQYqPj1dAQIA6dOigv//+2+qYtm3bqmTJkmrcuLFWrlxpVff999+rWbNmVmXh4eFZJtsZkpOTlZSUZLUBAAAAQH4hSX5E+fj4aMqUKQoMDNTLL7+sPn36aMqUKZb6Vq1a6Y033lClSpX01ltvqXjx4tq4caNVG4MGDdLTTz+tgIAARUVF6eTJkzp69KgkycXFRTExMfr888+1atUqNW7cWBEREVaJ8pkzZ1SqVCmrNkuVKqUzZ87cNu7o6Gi5u7tbNh8fn/y4HQAAAAAgiST5kVW/fn2ZTCbLfoMGDXTkyBGlpqZKkqpVq2apM5lM8vLy0rlz56zauPWY0qVLS5LlmOLFi2vgwIGqV6+e6tSpo3Hjxqljx46aOHFinuIeOnSoEhMTLdupU6fy1B4AAAAA3Mre1gHg/nTru8PSzUQ5LS3ttsdkJNz/POZW9erV07p16yz7Xl5eOnv2rNUxZ8+elZeX123bMJvNMpvNd78AAAAAAMgFRpIfUdu3b7fa37Ztm/z9/WVnZ1dgfcbHx1tGnKWbo9cbNmywOmbdunVq0KBBgcUAAAAAAHfCSPIjKiEhQQMHDtRrr72mPXv2aPr06YqJicm39ufNmycHBwfVqFFDkrR06VLNmTPHanGwfv36qUmTJoqJidHTTz+tzz77TLt27bJaSRsAAAAA7iWS5EdU586dde3aNdWtW1d2dnbq16+fevbsma99jB49WidPnpS9vb0qV66s//3vf/rXv/5lqW/YsKE+/fRTDR8+XP/+97/l7++v5cuXq2rVqvkaBwAAAABkl8nI+DguHhlhYWGqXr26pk6dautQ8iwpKUnu7u4K7TNLdmZHW4cDAADwUNo9sbOtQwDuKiM3SExMlJubW67b4Z1kAAAAAADSkSQDAAAAAJCOd5IfQZs2bbJ1CAAAAABwX2IkGQAAAACAdCTJAAAAAACkY7o1Hgqbx3TI0wp2AAAAACAxkgwAAAAAgAVJMgAAAAAA6UiSAQAAAABIR5IMAAAAAEA6kmQAAAAAANKxujUeCo8PXyg7s6OtwwAAAHgg7J7Y2dYhAPctRpIBAAAAAEhHkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0JMkAAAAAAKR7oJLkTZs2yWQy6eLFi7YOBQAAAADwEHqgkmQAAAAAAAoSSXI+uXHjhq1DAAAAAADkkU2T5LS0NEVHR8vPz0+Ojo4KDQ3V4sWLLfWrV69WQECAHB0d1bRpU504ccLq/PPnz6tDhw7y9vaWk5OTQkJCtHDhwmz3v3jxYoWEhMjR0VHFihVTs2bNdOXKFUv9nDlzVKVKFZnNZpUuXVqRkZGWOpPJpJkzZ6pt27ZydnbWu+++e8e+MqaKr127VjVq1JCjo6OeeOIJnTt3TmvWrFFQUJDc3Nz00ksv6erVq9m+R6mpqXr11Vct9YGBgZo2bZpV3127dlVERIQmTZqk0qVLq1ixYurdu3e2E/tPPvlEtWvXlqurq7y8vPTSSy/p3Llzeb62sLAwRUZGKjIyUu7u7ipevLhGjBghwzCyFRcAAAAA5Dd7W3YeHR2t//73v5o1a5b8/f21efNmdezYUSVKlFCFChXUrl079e7dWz179tSuXbv05ptvWp1//fp11apVS2+99Zbc3Ny0atUqderUSRUrVlTdunXv2Pfp06fVoUMHTZgwQc8++6wuXbqkLVu2WBK0mTNnauDAgRo3bpxatmypxMRExcXFWbUxcuRIjRs3TlOnTpW9ffZu5ciRI/X+++/LyclJ7du3V/v27WU2m/Xpp5/q8uXLevbZZzV9+nS99dZbd71HTZo0UVpamsqWLavPP/9cxYoV09atW9WzZ0+VLl1a7du3t/S7ceNGlS5dWhs3btTRo0f1wgsvqHr16urRo8ddY75x44ZGjx6twMBAnTt3TgMHDlTXrl21evXqPF2bJM2bN0+vvvqqduzYoV27dqlnz54qV67cbeNKTk5WcnKyZT8pKSlb9x0AAAAAssNk2GjYLjk5WZ6enlq/fr0aNGhgKe/evbuuXr0qX19frVixQgcOHLDUDRkyROPHj9eFCxfk4eGRZbutW7dW5cqVNWnSpDv2v2fPHtWqVUsnTpxQ+fLlM9V7e3urW7duGjNmTJbnm0wm9e/fX1OmTMnG1d4cbW3atKnWr1+vJ598UpI0btw4DR06VMeOHVOFChUkSb169dKJEyf01Vdf3fUeffrpp1n2FRkZqTNnzlhGnLt27apNmzbp2LFjsrOzkyS1b99ehQoV0meffZat+G+1a9cu1alTR5cuXZKLi0uurk26OZJ87tw5HThwQCaTSdLNZ7xy5Ur99NNPWfY9cuRIRUVFZSoP7TNLdmbHHF8LAADAo2j3xM62DgHId0lJSXJ3d1diYqLc3Nxy3Y7NplsfPXpUV69eVfPmzeXi4mLZ5s+fr2PHjungwYOqV6+e1Tm3JorSzanGo0ePVkhIiDw9PeXi4qK1a9cqISHhrv2HhobqySefVEhIiJ5//nl9/PHHunDhgiTp3Llz+v333y0J3+3Url07h1ctVatWzfJzqVKl5OTkZEkiM8oypjLf7R5lmDFjhmrVqqUSJUrIxcVFH330UaZ7UKVKFUuCLEmlS5e2mjJ9J7t371abNm1Urlw5ubq6qkmTJpKUqY+cXFuG+vXrWxJk6eYzPnLkiFJTU7OMZejQoUpMTLRsp06dytY1AAAAAEB22Gy69eXLlyVJq1atkre3t1Wd2WxW375979rGxIkTNW3aNE2dOlUhISFydnZW//79lZKSctdz7ezstG7dOm3dulVff/21pk+frmHDhmn79u0qXrx4tq7B2dk5W8fdqnDhwpafTSaT1X5GWVpamqS73yNJ+uyzzzRo0CDFxMSoQYMGcnV11cSJE7V9+/bb9vvPfu7kypUrCg8PV3h4uBYsWKASJUooISFB4eHhme5zTq4tt8xms+XaAQAAACC/2SxJDg4OltlsVkJCgmVk8lZBQUFauXKlVdm2bdus9uPi4vTMM8+oY8eOkm4ucnX48GEFBwdnKwaTyaRGjRqpUaNGevvtt1W+fHktW7ZMAwcOlK+vrzZs2KCmTZvm8grz7m73SLp5Dxo2bKg33njDUnbrKHNe/fzzzzp//rzGjRsnHx8fSTenW+eXfybz27Ztk7+/v9WoNwAAAADcKzZLkl1dXTVo0CANGDBAaWlpaty4sWVxLDc3N/Xq1UsxMTEaPHiwunfvrt27dys2NtaqDX9/fy1evFhbt25V0aJFNXnyZJ09ezZbSfL27du1YcMGPfXUUypZsqS2b9+uP/74Q0FBQZJuvvvaq1cvlSxZUi1bttSlS5cUFxenPn36FMTtyNLd7lGXLl3k7++v+fPna+3atfLz89Mnn3yinTt3ys/PL19iKFeunBwcHDR9+nT16tVL+/fv1+jRo/OlbenmlO2BAwfqtdde0549ezR9+nTFxMTkW/sAAAAAkBM2Xd169OjRKlGihKKjo/XLL7/Iw8NDNWvW1L///W+VK1dOS5Ys0YABAzR9+nTVrVtXY8eO1SuvvGI5f/jw4frll18UHh4uJycn9ezZUxEREUpMTLxr325ubtq8ebOmTp2qpKQklS9fXjExMWrZsqUkqUuXLrp+/bqmTJmiQYMGqXjx4vrXv/5VYPfidu50jyTptdde0969e/XCCy/IZDKpQ4cOeuONN7RmzZp86b9EiRKKjY3Vv//9b7333nuqWbOmJk2apLZt2+ZL+507d9a1a9dUt25d2dnZqV+/furZs2e+tA0AAAAAOWWz1a2BsLAwVa9eXVOnTs11Gxkr2LG6NQAAQPaxujUeRg/86tYAAAAAANxvHtokOSEhweqzSf/csvOZqJzo1avXbfvq1atXvvaVn7Zs2XLH+wQAAAAAj5KHdrr133//rRMnTty23tfXV/b2+fdK9rlz55SUlJRlnZubm0qWLJlvfeWna9eu6bfffrttfaVKle5hNDnHdGsAAICcY7o1Hkb5Nd3apgt3FSR7e/t7muCVLFnyvk2E78TR0fG+T4QBAAAA4F55aKdbAwAAAACQUw/tSDIeLZvHdMjTlAoAAAAAkBhJBgAAAADAgiQZAAAAAIB0JMkAAAAAAKQjSQYAAAAAIB1JMgAAAAAA6VjdGg+Fx4cvlJ3Z0dZhAAAAZLJ7YmdbhwAgBxhJBgAAAAAgHUkyAAAAAADpSJIBAAAAAEhHkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZ90xYWJj69+9v6zAAAAAA4LZIkgtY165dFRERkWWdr6+vTCaT1Va2bNlstevr66upU6dmKh85cqSqV69utf/PPkwmk9avX5+Lq8meTZs2yWQy6eLFi1blS5cu1ejRowusXwAAAADIK3tbB/CoGzVqlHr06GHZt7Ozy/c+qlSpkikp9vT0zHE7KSkpcnBwyHUcuekTAAAAAO4lRpJtzNXVVV5eXpatRIkS+d6Hvb29VR9eXl7ZSnYzRsHfffddlSlTRoGBgZKkTz75RLVr17bE/tJLL+ncuXOSpBMnTqhp06aSpKJFi8pkMqlr166SMk+3vnDhgjp37qyiRYvKyclJLVu21JEjR/L34gEAAAAgB0iScUcbNmzQoUOHtG7dOn355ZeSpBs3bmj06NH64YcftHz5cp04ccKSCPv4+GjJkiWSpEOHDun06dOaNm1alm137dpVu3bt0sqVK/X999/LMAy1atVKN27cuG08ycnJSkpKstoAAAAAIL+QJNvYW2+9JRcXF8v23nvv5fpcFxcXjR07NtNx+/btszqmbt262e7D2dlZs2fPVpUqVVSlShVJ0iuvvKKWLVuqQoUKql+/vt577z2tWbNGly9flp2dnWVadcmSJeXl5SV3d/dM7R45ckQrV67U7Nmz9dhjjyk0NFQLFizQb7/9puXLl982nujoaLm7u1s2Hx+fbF8LAAAAANwN7yTb2ODBgy2jsJJUvHjxXJ8rSe+99542b95sVRYYGKiVK1da9s1mc7b7CAkJyTQ1e/fu3Ro5cqR++OEHXbhwQWlpaZKkhIQEBQcHZ6vdgwcPyt7eXvXq1bOUFStWTIGBgTp48OBtzxs6dKgGDhxo2U9KSiJRBgAAAJBvSJJtrHjx4qpUqVK+nZvV4lgODg657sPZ2dlq/8qVKwoPD1d4eLgWLFigEiVKKCEhQeHh4UpJSclVHzlhNptzlOQDAAAAQE4w3Ro58vPPP+v8+fMaN26cHnvsMVWuXNmyaFeGjJHn1NTU27YTFBSkv//+W9u3b7eUnT9/XocOHcr2aDQAAAAA5DdGku+BxMRExcfHW5UVK1bMNsHkUbly5eTg4KDp06erV69e2r9/f6ZvH5cvX14mk0lffvmlWrVqJUdHR7m4uFgd4+/vr2eeeUY9evTQhx9+KFdXVw0ZMkTe3t565pln7uUlAQAAAIAFI8n3wKZNm1SjRg2rLSoqytZh5UqJEiUUGxurzz//XMHBwRo3bpwmTZpkdYy3t7eioqI0ZMgQlSpVSpGRkVm2NXfuXNWqVUutW7dWgwYNZBiGVq9ercKFC9+LSwEAAACATEyGYRi2DgLIraSkJLm7uyu0zyzZmR1tHQ4AAEAmuyd2tnUIwCMhIzdITEyUm5tbrtvJ9UjyJ598okaNGqlMmTI6efKkJGnq1KlasWJFroMBAAAAAMCWcpUkz5w5UwMHDlSrVq108eJFywJNHh4emjp1an7G90hasGBBpu8fZ2wZ3yrOD7frw8XFRVu2bMm3fgAAAADgQZGrhbumT5+ujz/+WBERERo3bpylvHbt2ho0aFC+Bfeoatu2rdX3g2+Vn+/r/nMxsVt5e3vnWz8AAAAA8KDIVZJ8/Phx1ahRI1O52WzWlStX8hzUo87V1VWurq4F3k9uv50MAAAAAA+rXCXJfn5+io+PV/ny5a3Kv/rqKwUFBeVLYEBObB7TIU8v5wMAAACAlMskeeDAgerdu7euX78uwzC0Y8cOLVy4UNHR0Zo9e3Z+xwgAAAAAwD2RqyS5e/fucnR01PDhw3X16lW99NJLKlOmjKZNm6YXX3wxv2MEAAAAAOCeyHGS/Pfff+vTTz9VeHi4Xn75ZV29elWXL19WyZIlCyI+AAAAAADumRx/Asre3l69evXS9evXJUlOTk4kyAAAAACAh0KuvpNct25d7d27N79jAQAAAADApnL1TvIbb7yhN998U7/++qtq1aolZ2dnq/pq1arlS3BAdj0+fKHszI62DgMAAOTS7omdbR0CAEjKZZKcsThX3759LWUmk0mGYchkMik1NTV/ogMAAAAA4B7KVZJ8/Pjx/I4DAAAAAACby1WSXL58+fyOAwAAAAAAm8tVkjx//vw71nfuzDslAAAAAIAHT66S5H79+lnt37hxQ1evXpWDg4OcnJxIkgEAAAAAD6RcfQLqwoULVtvly5d16NAhNW7cWAsXLszvGAEAAAAAuCdylSRnxd/fX+PGjcs0yoy8OXHihEwmk+Lj4yVJmzZtkslk0sWLF297TmxsrDw8PO5JfAAAAADwMMm3JFmS7O3t9fvvv+dnk488Hx8fnT59WlWrVs32OS+88IIOHz5cgFEBAAAAwMMpV+8kr1y50mrfMAydPn1a77//vho1apQvgeEmOzs7eXl55egcR0dHOTo6FlBEAAAAAPDwytVIckREhNXWrl07jRw5UtWqVdOcOXPyO0abCgsLU2RkpCIjI+Xu7q7ixYtrxIgRMgxDkuTr66vRo0erQ4cOcnZ2lre3t2bMmGHVxs8//6zGjRurSJEiCg4O1vr162UymbR8+fK79v/P6dYZ4uLiVK1aNRUpUkT169fX/v37LXU5mW49cuRIVa9eXXPmzFG5cuXk4uKiN954Q6mpqZowYYK8vLxUsmRJvfvuu1bnXbx4Ud27d1eJEiXk5uamJ554Qj/88IOl/tixY3rmmWdUqlQpubi4qE6dOlq/fr1VG76+vho7dqxeeeUVubq6qly5cvroo4+yFTcAAAAAFIRcJclpaWlWW2pqqs6cOaNPP/1UpUuXzu8YbW7evHmyt7fXjh07NG3aNE2ePFmzZ8+21E+cOFGhoaHau3evhgwZon79+mndunWSpNTUVEVERMjJyUnbt2/XRx99pGHDhuU5psGDBysmJkY7d+5UiRIl1KZNG924cSNXbR07dkxr1qzRV199pYULF+o///mPnn76af3666/69ttvNX78eA0fPlzbt2+3nPP888/r3LlzWrNmjXbv3q2aNWvqySef1F9//SVJunz5slq1aqUNGzZo7969atGihdq0aaOEhASrvmNiYlS7dm3t3btXb7zxhl5//XUdOnTotrEmJycrKSnJagMAAACA/JKrJHnUqFG6evVqpvJr165p1KhReQ7qfuPj46MpU6YoMDBQL7/8svr06aMpU6ZY6hs1aqQhQ4YoICBAffr00b/+9S9L/bp163Ts2DHNnz9foaGhaty4caZR2dx455131Lx5c4WEhGjevHk6e/asli1blqu20tLSNGfOHAUHB6tNmzZq2rSpDh06pKlTpyowMFDdunVTYGCgNm7cKEn67rvvtGPHDn3++eeqXbu2/P39NWnSJHl4eGjx4sWSpNDQUL322muqWrWq/P39NXr0aFWsWDHTVP1WrVrpjTfeUKVKlfTWW2+pePHiln6yEh0dLXd3d8vm4+OTq2sGAAAAgKzkKkmOiorS5cuXM5VfvXpVUVFReQ7qflO/fn2ZTCbLfoMGDXTkyBGlpqZa9m/VoEEDHTx4UJJ06NAh+fj4WL1XXLdu3TzHdGufnp6eCgwMtPSZU76+vnJ1dbXslypVSsHBwSpUqJBV2blz5yRJP/zwgy5fvqxixYrJxcXFsh0/flzHjh2TdHMkedCgQQoKCpKHh4dcXFx08ODBTCPJ1apVs/xsMpnk5eVl6ScrQ4cOVWJiomU7depUrq4ZAAAAALKSq4W7DMOwShoz/PDDD/L09MxzULi3ChcubLVvMpmyLEtLS5N0MwEuXbq0Nm3alKmtjHehBw0apHXr1mnSpEmqVKmSHB0d9a9//UspKSl37Tujn6yYzWaZzebsXhoAAAAA5EiOkuSiRYvKZDLJZDIpICDAKlFOTU3V5cuX1atXr3wP0tZufRdXkrZt2yZ/f3/Z2dlZ9v9ZHxQUJEkKDAzUqVOndPbsWZUqVUqStHPnzjzHtG3bNpUrV06SdOHCBR0+fNjSZ0GrWbOmzpw5I3t7e/n6+mZ5TFxcnLp27apnn31W0s3E+sSJE/ckPgAAAADIrRwlyVOnTpVhGHrllVcUFRUld3d3S52Dg4N8fX0zTT1+GCQkJGjgwIF67bXXtGfPHk2fPl0xMTGW+ri4OE2YMEERERFat26dPv/8c61atUqS1Lx5c1WsWFFdunTRhAkTdOnSJQ0fPlySshyNz65Ro0apWLFiKlWqlIYNG6bixYsrIiIiT9eZXc2aNVODBg0UERGhCRMmKCAgQL///rtWrVqlZ5991vKe8tKlS9WmTRuZTCaNGDHijiPEAAAAAHA/yFGS3KVLF0mSn5+fGjZsmGmq7MOqc+fOunbtmurWrSs7Ozv169dPPXv2tNS/+eab2rVrl6KiouTm5qbJkycrPDxc0s3vHC9fvlzdu3dXnTp1VKFCBU2cOFFt2rRRkSJFch3TuHHj1K9fPx05ckTVq1fXF198IQcHhzxfa3aYTCatXr1aw4YNU7du3fTHH3/Iy8tLjz/+uGW0fPLkyXrllVfUsGFDFS9eXG+99RYrUQMAAAC475mMjA/+5tL169czvWfq5uaWp6DuJ2FhYapevbqmTp2aZb2vr6/69++v/v37Z7vNuLg4NW7cWEePHlXFihXzJ9BHVFJSktzd3RXaZ5bszI62DgcAAOTS7omdbR0CgAdcRm6QmJiYp5w0Vwt3Xb16Vf/3f/+nRYsW6fz585nqM1Z9xk3Lli2Ti4uL/P39dfToUfXr10+NGjUiQQYAAACA+0yuPgE1ePBgffPNN5o5c6bMZrNmz56tqKgolSlTRvPnz8/vGB94ly5dUu/evVW5cmV17dpVderU0YoVKyRJY8eOtfqM0q1by5Yt89x3lSpVbtv+ggUL8tw+AAAAADxMcjXduly5cpo/f77CwsLk5uamPXv2qFKlSvrkk0+0cOFCrV69uiBifSj99ddf+uuvv7Ksc3R0lLe3d57aP3nypG7cuJFlXalSpay+j/wgYro1AAAPB6ZbA8grm063/uuvv1ShQgVJN98/zkjyGjdurNdffz3XwTyKPD09C/Tb0uXLly+wtgEAAADgYZOr6dYVKlTQ8ePHJUmVK1fWokWLJElffPGFPDw88i04AAAAAADupVxNt54yZYrs7OzUt29frV+/Xm3atJFhGLpx44YmT56sfv36FUSsQCb5NaUCAAAAwIMtv3KDPH8CSrr53uvu3btVqVIlVatWLa/NAdlGkgwAAABAsvE7ybe6fv26ypcvz7uvAAAAAIAHXq7eSU5NTdXo0aPl7e0tFxcX/fLLL5KkESNG6D//+U++BggAAAAAwL2SqyT53XffVWxsrCZMmCAHBwdLedWqVTV79ux8Cw4AAAAAgHspV0ny/Pnz9dFHH+nll1+WnZ2dpTw0NFQ///xzvgUHAAAAAMC9lKt3kn/77TdVqlQpU3laWppu3LiR56CAnHp8+ELZmR1tHQYA4BG0e2JnW4cAAMhHuRpJDg4O1pYtWzKVL168WDVq1MhzUAAAAAAA2EKuRpLffvttdenSRb/99pvS0tK0dOlSHTp0SPPnz9eXX36Z3zECAAAAAHBP5Ggk+ZdffpFhGHrmmWf0xRdfaP369XJ2dtbbb7+tgwcP6osvvlDz5s0LKlYAAAAAAApUjkaS/f39dfr0aZUsWVKPPfaYPD09tW/fPpUqVaqg4gMAAAAA4J7J0UiyYRhW+2vWrNGVK1fyNSAAAAAAAGwlVwt3Zfhn0gwAAAAAwIMsR0myyWSSyWTKVIZ7a9OmTTKZTLp48aKtQwEAAACAh0qO3kk2DENdu3aV2WyWJF2/fl29evWSs7Oz1XFLly7NvwgBAAAAALhHcpQkd+nSxWq/Y8eO+RoMAAAAAAC2lKPp1nPnzs3WhpxJS0tTdHS0/Pz85OjoqNDQUC1evNhSv3r1agUEBMjR0VFNmzbViRMnrM4/f/68OnToIG9vbzk5OSkkJEQLFy7Mdv9hYWHq06eP+vfvr6JFi6pUqVL6+OOPdeXKFXXr1k2urq6qVKmS1qxZY3Xe/v371bJlS7m4uKhUqVLq1KmT/vzzT0v9V199pcaNG8vDw0PFihVT69atdezYMUv9iRMnZDKZtHTpUjVt2lROTk4KDQ3V999/n8M7CAAAAAD5I08LdyF/REdHa/78+Zo1a5YOHDigAQMGqGPHjvr222916tQptWvXTm3atFF8fLy6d++uIUOGWJ1//fp11apVS6tWrdL+/fvVs2dPderUSTt27Mh2DPPmzVPx4sW1Y8cO9enTR6+//rqef/55NWzYUHv27NFTTz2lTp066erVq5Kkixcv6oknnlCNGjW0a9cuffXVVzp79qzat29vafPKlSsaOHCgdu3apQ0bNqhQoUJ69tlnlZaWZtX3sGHDNGjQIMXHxysgIEAdOnTQ33//nWWcycnJSkpKstoAAAAAIL+YDJaotqnk5GR5enpq/fr1atCggaW8e/fuunr1qnx9fbVixQodOHDAUjdkyBCNHz9eFy5ckIeHR5bttm7dWpUrV9akSZPuGkNYWJhSU1O1ZcsWSVJqaqrc3d3Vrl07zZ8/X5J05swZlS5dWt9//73q16+vMWPGaMuWLVq7dq2lnV9//VU+Pj46dOiQAgICMvXz559/qkSJEtq3b5+qVq2qEydOyM/PT7Nnz9arr74qSfrpp59UpUoVHTx4UJUrV87UxsiRIxUVFZWpPLTPLNmZHe96rQAA5LfdEzvbOgQAgKSkpCS5u7srMTFRbm5uuW4nR+8kI/8dPXpUV69eVfPmza3KU1JSVKNGDV27dk316tWzqrs1mZZuJrVjx47VokWL9NtvvyklJUXJyclycnLKdhzVqlWz/GxnZ6dixYopJCTEUlaqVClJ0rlz5yRJP/zwgzZu3CgXF5dMbR07dkwBAQE6cuSI3n77bW3fvl1//vmnZQQ5ISFBVatWzbLv0qVLW/rJKkkeOnSoBg4caNlPSkqSj49Ptq8TAAAAAO6EJNnGLl++LElatWqVvL29rerMZrP69u171zYmTpyoadOmaerUqQoJCZGzs7P69++vlJSUbMdRuHBhq32TyWRVlvGpr4xE9/Lly2rTpo3Gjx+fqa2MRLdNmzYqX768Pv74Y5UpU0ZpaWmqWrVqprju1M8/mc1my+rqAAAAAJDfSJJtLDg4WGazWQkJCWrSpEmm+qCgIK1cudKqbNu2bVb7cXFxeuaZZyyrjaelpenw4cMKDg4usLhr1qypJUuWyNfXV/b2mX8ZnT9/XocOHdLHH3+sxx57TJL03XffFVg8AAAAAJAfWLjLxlxdXTVo0CANGDBA8+bN07Fjx7Rnzx5Nnz5d8+bNU69evXTkyBENHjxYhw4d0qeffqrY2FirNvz9/bVu3Tpt3bpVBw8e1GuvvaazZ88WaNy9e/fWX3/9pQ4dOmjnzp06duyY1q5dq27duik1NVVFixZVsWLF9NFHH+no0aP65ptvrKZJAwAAAMD9iCT5PjB69GiNGDFC0dHRCgoKUosWLbRq1Sr5+fmpXLlyWrJkiZYvX67Q0FDNmjVLY8eOtTp/+PDhqlmzpsLDwxUWFiYvLy9FREQUaMxlypRRXFycUlNT9dRTTykkJET9+/eXh4eHChUqpEKFCumzzz7T7t27VbVqVQ0YMEATJ04s0JgAAAAAIK9Y3RoPtIwV7FjdGgBgK6xuDQD3h/xa3ZqRZAAAAAAA0pEkP+QSEhLk4uJy2y0hIcHWIQIAAADAfYPVrR9yZcqUUXx8/B3rAQAAAAA3kSQ/5Ozt7VWpUiVbhwEAAAAADwSmWwMAAAAAkI6RZDwUNo/pkKcV7AAAAABAYiQZAAAAAAALkmQAAAAAANKRJAMAAAAAkI4kGQAAAACAdCTJAAAAAACkY3VrPBQeH75QdmZHW4cBAHiA7Z7Y2dYhAADuA4wkAwAAAACQjiQZAAAAAIB0JMkAAAAAAKQjSQYAAAAAIB1JMgAAAAAA6UiSAQAAAABIR5IMAAAAAEA6kuSHUNeuXRUREZGpfNOmTTKZTLp48aLl54ytRIkSatWqlfbt2ydJiomJUdGiRXX9+vVM7Vy9elVubm5677337hqLr6+vpk6dmmXdiRMnrGLI2Dp27Jij6wUAAACA/EKS/Ig7dOiQTp8+rbVr1yo5OVlPP/20UlJS1KlTJ125ckVLly7NdM7ixYuVkpKSb8ns+vXrdfr0acs2Y8aMfGkXAAAAAHKKJPkRV7JkSXl5ealmzZrq37+/Tp06pZ9//lklS5ZUmzZtNGfOnEznzJkzRxEREfL09MyXGIoVKyYvLy/L5u7ufttjk5OTlZSUZLUBAAAAQH4hSYYkKTExUZ999pkkycHBQZL06quv6ptvvtHJkyctx/3yyy/avHmzXn31VZvEGR0dLXd3d8vm4+NjkzgAAAAAPJxIkh9SX375pVxcXKy2li1bZjqubNmycnFxkYeHhz799FO1bdtWlStXliSFh4erTJkymjt3ruX42NhY+fj46Mknn8y3WBs2bGgV5969e2977NChQ5WYmGjZTp06lW9xAAAAAIC9rQNAwWjatKlmzpxpVbZ9+/ZM7xFv2bJFTk5O2rZtm8aOHatZs2ZZ6uzs7NSlSxfFxsbqnXfekWEYmjdvnrp166ZChfLv31f+97//KSgoyLJ/p9Fhs9kss9mcb30DAAAAwK1Ikh9Szs7OqlSpklXZr7/+muk4Pz8/eXh4KDAwUOfOndMLL7ygzZs3W+pfeeUVRUdH65tvvlFaWppOnTqlbt265WusPj4+mWIFAAAAAFtgujUsevfurf3792vZsmWWsooVK6pJkyaaM2eO5s6dq2bNmql8+fI2jBIAAAAACg4jybBwcnJSjx499M477ygiIkImk0nSzQW8evToIenmO8k59dtvvyk+Pt6qjEQbAAAAwP2IkWRYiYyM1MGDB/X5559byp577jmZzWY5OTkpIiIix21OmjRJNWrUsNpWrVqVj1EDAAAAQP4wGYZh2DoIILeSkpLk7u6u0D6zZGd2tHU4AIAH2O6JnW0dAgAgDzJyg8TERLm5ueW6HUaSAQAAAABIR5KMXFuwYEGmbzFnbFWqVLF1eAAAAACQYyzchVxr27at6tWrl2Vd4cKF73E0AAAAAJB3JMnINVdXV7m6uto6DAAAAADINyTJeChsHtMhTy/nAwAAAIDEO8kAAAAAAFiQJAMAAAAAkI4kGQAAAACAdCTJAAAAAACkI0kGAAAAACAdq1vjofD48IWyMzvaOgwAeKDtntjZ1iEAAGBzjCQDAAAAAJCOJBkAAAAAgHQkyQAAAAAApCNJBgAAAAAgHUkyAAAAAADpSJIBAAAAAEhHkvyAOnHihEwmk+Lj4yVJmzZtkslk0sWLF297TmxsrDw8PAoknoJsGwAAAADuFZLkB5SPj49Onz6tqlWrZvucF154QYcPHy7AqAAAAADgwWZv6wCQO3Z2dvLy8srROY6OjnJ0dCygiAAAAADgwcdIci6FhYUpMjJSkZGRcnd3V/HixTVixAgZhiFJ8vX11ejRo9WhQwc5OzvL29tbM2bMsGrj559/VuPGjVWkSBEFBwdr/fr1MplMWr58+V37/+d06wxxcXGqVq2aihQpovr162v//v2WupxMif7hhx/UtGlTubq6ys3NTbVq1dKuXbus2ipXrpycnJz07LPP6vz581bnjxw5UtWrV9cnn3wiX19fubu768UXX9SlS5es7mHfvn31f//3f/L09JSXl5dGjhyZrfgAAAAAoCCQJOfBvHnzZG9vrx07dmjatGmaPHmyZs+ebamfOHGiQkNDtXfvXg0ZMkT9+vXTunXrJEmpqamKiIiQk5OTtm/fro8++kjDhg3Lc0yDBw9WTEyMdu7cqRIlSqhNmza6ceNGjtt5+eWXVbZsWe3cuVO7d+/WkCFDVLhwYUnS9u3b9eqrryoyMlLx8fFq2rSpxowZk6mNY8eOafny5fryyy/15Zdf6ttvv9W4ceOsjpk3b56cnZ21fft2TZgwQaNGjbLco6wkJycrKSnJagMAAACA/MJ06zzw8fHRlClTZDKZFBgYqH379mnKlCnq0aOHJKlRo0YaMmSIJCkgIEBxcXGaMmWKmjdvrnXr1unYsWPatGmTZdr0u+++q+bNm+cppnfeecfSxrx581S2bFktW7ZM7du3z1E7CQkJGjx4sCpXrixJ8vf3t9RNmzZNLVq00P/93/9Zrm3r1q366quvrNpIS0tTbGysXF1dJUmdOnXShg0b9O6771qOqVatmt555x1LH++//742bNhw2/sQHR2tqKioHF0LAAAAAGQXI8l5UL9+fZlMJst+gwYNdOTIEaWmplr2b9WgQQMdPHhQknTo0CH5+PhYvVdct27dPMd0a5+enp4KDAy09JkTAwcOVPfu3dWsWTONGzdOx44ds9QdPHhQ9erVu22/GXx9fS0JsiSVLl1a586dszqmWrVqVvtZHXOroUOHKjEx0bKdOnUqR9cFAAAAAHdCkowsjRw5UgcOHNDTTz+tb775RsHBwVq2bFmO2siYnp3BZDIpLS0tx8fcymw2y83NzWoDAAAAgPxCkpwH27dvt9rftm2b/P39ZWdnZ9n/Z31QUJAkKTAwUKdOndLZs2ct9Tt37sxzTLf2eeHCBR0+fNjSZ04FBARowIAB+vrrr9WuXTvNnTtXkhQUFJTltQMAAADAg44kOQ8SEhI0cOBAHTp0SAsXLtT06dPVr18/S31cXJwmTJigw4cPa8aMGfr8888t9c2bN1fFihXVpUsX/fjjj4qLi9Pw4cMlyWoKd06NGjVKGzZs0P79+9W1a1cVL15cEREROWrj2rVrioyM1KZNm3Ty5EnFxcVp586dlmS7b9+++uqrrzRp0iQdOXJE77//fqb3kQEAAADgQUSSnAedO3fWtWvXVLduXfXu3Vv9+vVTz549LfVvvvmmdu3apRo1amjMmDGaPHmywsPDJd38zvHy5ct1+fJl1alTR927d7esbl2kSJFcxzRu3Dj169dPtWrV0pkzZ/TFF1/IwcEhR23Y2dnp/Pnz6ty5swICAtS+fXu1bNnSsmBW/fr19fHHH2vatGkKDQ3V119/bUnwAQAAAOBBZjIyPuyLHAkLC1P16tU1derULOt9fX3Vv39/9e/fP9ttxsXFqXHjxjp69KgqVqyYP4E+5JKSkuTu7q7QPrNkZ3a0dTgA8EDbPbGzrUMAACDXMnKDxMTEPK1dxCegbGjZsmVycXGRv7+/jh49qn79+qlRo0YkyAAAAABgI0y3tqFLly6pd+/eqly5srp27ao6depoxYoVkqSxY8fKxcUly61ly5Z57rtKlSq3bX/BggV5bh8AAAAAHkRMt75P/fXXX/rrr7+yrHN0dJS3t3ee2j958qRu3LiRZV2pUqWsvm98P2O6NQDkH6ZbAwAeZEy3fsh5enrK09OzwNovX758gbUNAAAAAA8qplsDAAAAAJCOkWQ8FDaP6ZCnKRUAAAAAIDGSDAAAAACABUkyAAAAAADpSJIBAAAAAEhHkgwAAAAAQDqSZAAAAAAA0rG6NR4Kjw9fKDuzo63DAIAc2z2xs61DAAAAt2AkGQAAAACAdCTJAAAAAACkI0kGAAAAACAdSTIAAAAAAOlIkgEAAAAASEeSDAAAAABAOpJkAAAAAADSkSQ/RLp27aqIiIhM5Zs2bZLJZNLFixctP2dsJUqUUKtWrbRv3z5JUkxMjIoWLarr169naufq1atyc3PTe++9d9dYfH19NXXq1EzlI0eOVPXq1a32b40nY1u/fn22rxsAAAAA8gtJ8iPq0KFDOn36tNauXavk5GQ9/fTTSklJUadOnXTlyhUtXbo00zmLFy9WSkqKOnbsmK+xVKlSRadPn7baHn/88XztAwAAAACygyT5EVWyZEl5eXmpZs2a6t+/v06dOqWff/5ZJUuWVJs2bTRnzpxM58yZM0cRERHy9PTM11js7e3l5eVltTk4OORrHwAAAACQHfa2DgC2lZiYqM8++0ySLInpq6++qtatW+vkyZMqX768JOmXX37R5s2btXbtWpvFKknJyclKTk627CclJdkwGgAAAAAPG5Lkh8yXX34pFxcXq7LU1NRMx5UtW1aSdOXKFUlS27ZtVblyZUlSeHi4ypQpo7lz52rkyJGSpNjYWPn4+OjJJ5/MdixvvfWWhg8fblWWkpKi4OBgq7J9+/ZZxRwcHKwdO3Zk2WZ0dLSioqKyHQMAAAAA5ATTrR8yTZs2VXx8vNU2e/bsTMdt2bJFu3fvVmxsrAICAjRr1ixLnZ2dnbp06aLY2FgZhqG0tDTNmzdP3bp1U6FC2f8lM3jw4Eyx9OrVK9NxgYGBVscsWbLktm0OHTpUiYmJlu3UqVPZjgcAAAAA7oaR5IeMs7OzKlWqZFX266+/ZjrOz89PHh4eCgwM1Llz5/TCCy9o8+bNlvpXXnlF0dHR+uabb5SWlqZTp06pW7duOYqlePHimWLJ6n1mBweHTMfdjtlsltlszlEcAAAAAJBdjCRDvXv31v79+7Vs2TJLWcWKFdWkSRPNmTNHc+fOVbNmzSzvJwMAAADAw4okGXJyclKPHj30zjvvyDAMS/mrr76qpUuXatmyZXr11VdtGCEAAAAA3BskyZAkRUZG6uDBg/r8888tZc8995zMZrOcnJwUERFhu+AAAAAA4B4xGbcOHQIPmKSkJLm7uyu0zyzZmR1tHQ4A5NjuiZ1tHQIAAA+FjNwgMTFRbm5uuW6HkWQAAAAAANKRJCPHFixYIBcXlyy3KlWq2Do8AAAAAMg1PgGFHGvbtq3q1auXZV3hwoXvcTQAAAAAkH9IkpFjrq6ucnV1tXUYAAAAAJDvmG4NAAAAAEA6RpLxUNg8pkOeVrADAAAAAImRZAAAAAAALEiSAQAAAABIR5IMAAAAAEA6kmQAAAAAANKxcBceCo8PXyg7s6OtwwCAO9o9sbOtQwAAAHfBSDIAAAAAAOlIkgEAAAAASEeSDAAAAABAOpJkAAAAAADSkSQDAAAAAJCOJBkAAAAAgHQkyQAAAAAApCNJvg+dOHFCJpNJ8fHxkqRNmzbJZDLp4sWLtz0nNjZWHh4e9yS+gpKd6wQAAACAgkSSfB/y8fHR6dOnVbVq1Wyf88ILL+jw4cMFGBUAAAAAPPzsbR0AMrOzs5OXl1eOznF0dJSjo2Ou+ktJSZGDg0OuzgUAAACAhwkjyVkICwtTZGSkIiMj5e7uruLFi2vEiBEyDEOS5Ovrq9GjR6tDhw5ydnaWt7e3ZsyYYdXGzz//rMaNG6tIkSIKDg7W+vXrZTKZtHz58rv2/8/p1hni4uJUrVo1FSlSRPXr19f+/fstdTmZbj1y5EhVr15ds2fPlp+fn4oUKSJJMplM+vDDD9W6dWs5OTkpKChI33//vY4ePaqwsDA5OzurYcOGOnbsmKWtH374QU2bNpWrq6vc3NxUq1Yt7dq1S5J08uRJtWnTRkWLFpWzs7OqVKmi1atXW85dvXq1AgIC5OjoqKZNm+rEiRN3jT05OVlJSUlWGwAAAADkF5Lk25g3b57s7e21Y8cOTZs2TZMnT9bs2bMt9RMnTlRoaKj27t2rIUOGqF+/flq3bp0kKTU1VREREXJyctL27dv10UcfadiwYXmOafDgwYqJidHOnTtVokQJtWnTRjdu3MhVW0ePHtWSJUu0dOlSq2R89OjR6ty5s+Lj41W5cmW99NJLeu211zR06FDt2rVLhmEoMjLScvzLL7+ssmXLaufOndq9e7eGDBmiwoULS5J69+6t5ORkbd68Wfv27dP48ePl4uIiSTp16pTatWunNm3aKD4+Xt27d9eQIUPuGnd0dLTc3d0tm4+PT66uHwAAAACywnTr2/Dx8dGUKVNkMpkUGBioffv2acqUKerRo4ckqVGjRpakLiAgQHFxcZoyZYqaN2+udevW6dixY9q0aZNl2vS7776r5s2b5ymmd955x9LGvHnzVLZsWS1btkzt27fPcVspKSmaP3++SpQoYVXerVs3S3tvvfWWGjRooBEjRig8PFyS1K9fP3Xr1s1yfEJCggYPHqzKlStLkvz9/a3qnnvuOYWEhEiSKlSoYKmbOXOmKlasqJiYGEmy3OPx48ffMe6hQ4dq4MCBlv2kpCQSZQAAAAD5hpHk26hfv75MJpNlv0GDBjpy5IhSU1Mt+7dq0KCBDh48KEk6dOiQfHx8rN4rrlu3bp5jurVPT09PBQYGWvrMqfLly2dKkCWpWrVqlp9LlSolSZYkN6Ps+vXrlmnOAwcOVPfu3dWsWTONGzfOaip23759NWbMGDVq1EjvvPOOfvzxR0vdwYMHVa9evdte3+2YzWa5ublZbQAAAACQX0iSH1HOzs5ZlmdMlZZk+UeCrMrS0tIk3Xy/+cCBA3r66af1zTffKDg4WMuWLZMkde/eXb/88os6deqkffv2qXbt2po+fXqBXA8AAAAA5AeS5NvYvn271f62bdvk7+8vOzs7y/4/64OCgiTdnDp86tQpnT171lK/c+fOPMd0a58XLlzQ4cOHLX3aUkBAgAYMGKCvv/5a7dq109y5cy11Pj4+6tWrl5YuXao333xTH3/8sSQpKChIO3bssGrnn/cUAAAAAO41kuTbSEhI0MCBA3Xo0CEtXLhQ06dPV79+/Sz1cXFxmjBhgg4fPqwZM2bo888/t9Q3b95cFStWVJcuXfTjjz8qLi5Ow4cPlySrKdw5NWrUKG3YsEH79+9X165dVbx4cUVEROTpOvPi2rVrioyM1KZNm3Ty5EnFxcVp586dlsS9f//+Wrt2rY4fP649e/Zo48aNlrpevXrpyJEjGjx4sA4dOqRPP/1UsbGxNrsWAAAAAJBIkm+rc+fOunbtmurWravevXurX79+6tmzp6X+zTff1K5du1SjRg2NGTNGkydPtixuZWdnp+XLl+vy5cuqU6eOunfvblndOuNzS7kxbtw49evXT7Vq1dKZM2f0xRdf2PT7xnZ2djp//rw6d+6sgIAAtW/fXi1btlRUVJSkm6t89+7dW0FBQWrRooUCAgL0wQcfSJLKlSunJUuWaPny5QoNDdWsWbM0duxYm10LAAAAAEiSycj4+C8swsLCVL16dU2dOjXLel9fX/Xv31/9+/fPdptxcXFq3Lixjh49qooVK+ZPoFBSUpLc3d0V2meW7MyOtg4HAO5o98TOtg4BAICHVkZukJiYmKcFfvkEVAFZtmyZXFxc5O/vr6NHj6pfv35q1KgRCTIAAAAA3MeYbl1ALl26pN69e6ty5crq2rWr6tSpoxUrVkiSxo4dKxcXlyy3li1b5rnvKlWq3Lb9BQsW5Ll9AAAAAHhYMd3aBv766y/99ddfWdY5OjrK29s7T+2fPHlSN27cyLKuVKlScnV1zVP79xOmWwN4kDDdGgCAgsN06weYp6enPD09C6z98uXLF1jbAAAAAPAwI0nGQ2HzmA55+tciAAAAAJB4JxkAAAAAAAuSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0JMkAAAAAAKRjdWs8FB4fvpDvJAMPML4fDAAA7heMJAMAAAAAkI4kGQAAAACAdCTJAAAAAACkI0kGAAAAACAdSTIAAAAAAOlIkgEAAAAASEeSnE82bdokk8mkixcv2joUAAAAAEAukSTjvtG1a1dFRETYOgwAAAAAjzCS5EfAjRs3bB0CAAAAADwQSJJvIy0tTdHR0fLz85Ojo6NCQ0O1ePFiS/3q1asVEBAgR0dHNW3aVCdOnLA6//z58+rQoYO8vb3l5OSkkJAQLVy4MNv9L168WCEhIXJ0dFSxYsXUrFkzXblyxVI/Z84cValSRWazWaVLl1ZkZKSlzmQyaebMmWrbtq2cnZ317rvv3rW/AwcOqHXr1nJzc5Orq6see+wxHTt2zHIvRo0apbJly8psNqt69er66quvLOdmNdU8Pj5eJpPJcl9iY2Pl4eGhtWvXKigoSC4uLmrRooVOnz4tSRo5cqTmzZunFStWyGQyyWQyadOmTdm+XwAAAACQH+xtHcD9Kjo6Wv/97381a9Ys+fv7a/PmzerYsaNKlCihChUqqF27durdu7d69uypXbt26c0337Q6//r166pVq5beeustubm5adWqVerUqZMqVqyounXr3rHv06dPq0OHDpowYYKeffZZXbp0SVu2bJFhGJKkmTNnauDAgRo3bpxatmypxMRExcXFWbUxcuRIjRs3TlOnTpW9/Z0f82+//abHH39cYWFh+uabb+Tm5qa4uDj9/fffkqRp06YpJiZGH374oWrUqKE5c+aobdu2OnDggPz9/bN9T69evapJkybpk08+UaFChdSxY0cNGjRICxYs0KBBg3Tw4EElJSVp7ty5kiRPT89MbSQnJys5Odmyn5SUlO3+AQAAAOBuSJKzkJycrLFjx2r9+vVq0KCBJKlChQr67rvv9OGHH8rX11cVK1ZUTEyMJCkwMFD79u3T+PHjLW14e3tr0KBBlv0+ffpo7dq1WrRoUbaS5L///lvt2rVT+fLlJUkhISGW+jFjxujNN99Uv379LGV16tSxauOll15St27dsnW9M2bMkLu7uz777DMVLlxYkhQQEGCpnzRpkt566y29+OKLkqTx48dr48aNmjp1qmbMmJGtPqSb075nzZqlihUrSpIiIyM1atQoSZKLi4scHR2VnJwsLy+v27YRHR2tqKiobPcJAAAAADlBkpyFo0eP6urVq2revLlVeUpKimrUqKFr166pXr16VnUZyXSG1NRUjR07VosWLdJvv/2mlJQUJScny8nJ6a79h4aG6sknn1RISIjCw8P11FNP6V//+peKFi2qc+fO6ffff9eTTz55xzZq166dzau9OTX6sccesyTIt0pKStLvv/+uRo0aWZU3atRIP/zwQ7b7kCQnJydLgixJpUuX1rlz53LUxtChQzVw4ECr+Hx8fHLUBgAAAADcDklyFi5fvixJWrVqlby9va3qzGaz+vbte9c2Jk6cqGnTpmnq1KkKCQmRs7Oz+vfvr5SUlLuea2dnp3Xr1mnr1q36+uuvNX36dA0bNkzbt29X8eLFs3UNzs7O2TpOkhwdHbN9bFYKFbr5anvGdHAp68XC/pmEm0wmq3Oyw2w2y2w25yJKAAAAALg7Fu7KQnBwsMxmsxISElSpUiWrzcfHR0FBQdqxY4fVOdu2bbPaj4uL0zPPPKOOHTsqNDRUFSpU0OHDh7Mdg8lkUqNGjRQVFaW9e/fKwcFBy5Ytk6urq3x9fbVhw4Z8uVZJqlatmrZs2ZJlYuvm5qYyZcpkeuc5Li5OwcHBkqQSJUpIkmURLunm6HROOTg4KDU1NcfnAQAAAEB+YSQ5C66urho0aJAGDBigtLQ0NW7c2LI4lpubm3r16qWYmBgNHjxY3bt31+7duxUbG2vVhr+/vxYvXqytW7eqaNGimjx5ss6ePWtJLO9k+/bt2rBhg5566imVLFlS27dv1x9//KGgoCBJNxfl6tWrl0qWLKmWLVvq0qVLiouLU58+fXJ1vZGRkZo+fbpefPFFDR06VO7u7tq2bZvq1q2rwMBADR48WO+8844qVqyo6tWra+7cuYqPj9eCBQskyfKPByNHjtS7776rw4cPW97XzglfX1+tXbtWhw4dUrFixeTu7p7lFHAAAAAAKCiMJN/G6NGjNWLECEVHRysoKEgtWrTQqlWr5Ofnp3LlymnJkiVavny5QkNDNWvWLI0dO9bq/OHDh6tmzZoKDw9XWFiYvLy8FBERka2+3dzctHnzZrVq1UoBAQEaPny4YmJi1LJlS0lSly5dNHXqVH3wwQeqUqWKWrdurSNHjuT6WosVK6ZvvvlGly9fVpMmTVSrVi19/PHHlgS1b9++GjhwoN58802FhIToq6++0sqVKy0rWxcuXFgLFy7Uzz//rGrVqmn8+PEaM2ZMjuPo0aOHAgMDVbt2bZUoUSLT6DUAAAAAFDSTkdOXQoH7SFJSktzd3RXaZ5bszHl7txqA7eye2NnWIQAAgAdcRm6QmJgoNze3XLfDSDIAAAAAAOlIkm0gISFBLi4ut90SEhLytb9evXrdtq9evXrla18AAAAA8CBj4S4bKFOmzB1Xfy5Tpky+9jdq1CgNGjQoy7q8TEMAAAAAgIcNSbIN2Nvbq1KlSvesv5IlS6pkyZL3rD8AAAAAeFAx3RoAAAAAgHSMJOOhsHlMB6aOAwAAAMgzRpIBAAAAAEjHSDIeaBmf+U5KSrJxJAAAAABsKSMnyMgRcoskGQ+08+fPS5J8fHxsHAkAAACA+8GlS5fk7u6e6/NJkvFA8/T0lHTz29N5+Y2AB1NSUpJ8fHx06tQp3kl/BPH8H108+0cbz//RxvN/tN3t+RuGoUuXLuX5k7okyXigFSp087V6d3d3/qB8hLm5ufH8H2E8/0cXz/7RxvN/tPH8H213ev75MXDGwl0AAAAAAKQjSQYAAAAAIB1JMh5oZrNZ77zzjsxms61DgQ3w/B9tPP9HF8/+0cbzf7Tx/B9t9+r5m4y8ro8NAAAAAMBDgpFkAAAAAADSkSQDAAAAAJCOJBkAAAAAgHQkyQAAAAAApCNJxn1nxowZ8vX1VZEiRVSvXj3t2LHjjsd//vnnqly5sooUKaKQkBCtXr3aqt4wDL399tsqXbq0HB0d1axZMx05cqQgLwG5lJ/P/saNG3rrrbcUEhIiZ2dnlSlTRp07d9bvv/9e0JeBXMrv3/u36tWrl0wmk6ZOnZrPUSO/FMTzP3jwoNq2bSt3d3c5OzurTp06SkhIKKhLQB7k9/O/fPmyIiMjVbZsWTk6Oio4OFizZs0qyEtALuXk2R84cEDPPfecfH197/hnek5/PcF28vv5R0dHq06dOnJ1dVXJkiUVERGhQ4cO5TwwA7iPfPbZZ4aDg4MxZ84c48CBA0aPHj0MDw8P4+zZs1keHxcXZ9jZ2RkTJkwwfvrpJ2P48OFG4cKFjX379lmOGTdunOHu7m4sX77c+OGHH4y2bdsafn5+xrVr1+7VZSEb8vvZX7x40WjWrJnxv//9z/j555+N77//3qhbt65Rq1ate3lZyKaC+L2fYenSpUZoaKhRpkwZY8qUKQV8JciNgnj+R48eNTw9PY3Bgwcbe/bsMY4ePWqsWLHitm3Cdgri+ffo0cOoWLGisXHjRuP48ePGhx9+aNjZ2RkrVqy4V5eFbMjps9+xY4cxaNAgY+HChYaXl1eWf6bntE3YTkE8//DwcGPu3LnG/v37jfj4eKNVq1ZGuXLljMuXL+coNpJk3Ffq1q1r9O7d27KfmppqlClTxoiOjs7y+Pbt2xtPP/20VVm9evWM1157zTAMw0hLSzO8vLyMiRMnWuovXrxomM1mY+HChQVwBcit/H72WdmxY4chyTh58mT+BI18U1DP/9dffzW8vb2N/fv3G+XLlydJvk8VxPN/4YUXjI4dOxZMwMhXBfH8q1SpYowaNcrqmJo1axrDhg3Lx8iRVzl99re63Z/peWkT91ZBPP9/OnfunCHJ+Pbbb3MUG9Otcd9ISUnR7t271axZM0tZoUKF1KxZM33//fdZnvP9999bHS9J4eHhluOPHz+uM2fOWB3j7u6uevXq3bZN3HsF8eyzkpiYKJPJJA8Pj3yJG/mjoJ5/WlqaOnXqpMGDB6tKlSoFEzzyrCCef1pamlatWqWAgACFh4erZMmSqlevnpYvX15g14HcKajf/w0bNtTKlSv122+/yTAMbdy4UYcPH9ZTTz1VMBeCHMvNs7dFmygY9+pZJSYmSpI8PT1zdB5JMu4bf/75p1JTU1WqVCmr8lKlSunMmTNZnnPmzJk7Hp/x35y0iXuvIJ79P12/fl1vvfWWOnToIDc3t/wJHPmioJ7/+PHjZW9vr759++Z/0Mg3BfH8z507p8uXL2vcuHFq0aKFvv76az377LNq166dvv3224K5EORKQf3+nz59uoKDg1W2bFk5ODioRYsWmjFjhh5//PH8vwjkSm6evS3aRMG4F88qLS1N/fv3V6NGjVS1atUcnWufLxEAwH3sxo0bat++vQzD0MyZM20dDu6B3bt3a9q0adqzZ49MJpOtw8E9lpaWJkl65plnNGDAAElS9erVtXXrVs2aNUtNmjSxZXi4B6ZPn65t27Zp5cqVKl++vDZv3qzevXurTJkymUahATycevfurf379+u7777L8bmMJOO+Ubx4cdnZ2ens2bNW5WfPnpWXl1eW53h5ed3x+Iz/5qRN3HsF8ewzZCTIJ0+e1Lp16xhFvg8VxPPfsmWLzp07p3Llysne3l729vY6efKk3nzzTfn6+hbIdSB3CuL5Fy9eXPb29goODrY6JigoiNWt7zMF8fyvXbumf//735o8ebLatGmjatWqKTIyUi+88IImTZpUMBeCHMvNs7dFmygYBf2sIiMj9eWXX2rjxo0qW7Zsjs8nScZ9w8HBQbVq1dKGDRssZWlpadqwYYMaNGiQ5TkNGjSwOl6S1q1bZznez89PXl5eVsckJSVp+/btt20T915BPHvp/yfIR44c0fr161WsWLGCuQDkSUE8/06dOunHH39UfHy8ZStTpowGDx6stWvXFtzFIMcK4vk7ODioTp06mT77cfjwYZUvXz6frwB5URDP/8aNG7px44YKFbL+a66dnZ1llgFsLzfP3hZtomAU1LMyDEORkZFatmyZvvnmG/n5+eW6IeC+8dlnnxlms9mIjY01fvrpJ6Nnz56Gh4eHcebMGcMwDKNTp07GkCFDLMfHxcUZ9vb2xqRJk4yDBw8a77zzTpafgPLw8DBWrFhh/Pjjj8YzzzzDJ6DuQ/n97FNSUoy2bdsaZcuWNeLj443Tp09btuTkZJtcI26vIH7v/xOrW9+/CuL5L1261ChcuLDx0UcfGUeOHDGmT59u2NnZGVu2bLnn14c7K4jn36RJE6NKlSrGxo0bjV9++cWYO3euUaRIEeODDz6459eH28vps09OTjb27t1r7N271yhdurQxaNAgY+/evcaRI0ey3SbuHwXx/F9//XXD3d3d2LRpk9Xf/a5evZqj2EiScd+ZPn26Ua5cOcPBwcGoW7eusW3bNktdkyZNjC5dulgdv2jRIiMgIMBwcHAwqlSpYqxatcqqPi0tzRgxYoRRqlQpw2w2G08++aRx6NChe3EpyKH8fPbHjx83JGW5bdy48R5dEXIiv3/v/xNJ8v2tIJ7/f/7zH6NSpUpGkSJFjNDQUGP58uUFfRnIpfx+/qdPnza6du1qlClTxihSpIgRGBhoxMTEGGlpafficpADOXn2t/t/e5MmTbLdJu4v+f38b/d3v7lz5+YoLlN6YwAAAAAAPPJ4JxkAAAAAgHQkyQAAAAAApCNJBgAAAAAgHUkyAAAAAADpSJIBAAAAAEhHkgwAAAAAQDqSZAAAAAAA0pEkAwAAAACQjiQZAAAAAIB0JMkAADyEunbtqoiICFuHcVsnTpyQyWRSfHy8rUPJlj/++EOvv/66ypUrJ7PZLC8vL4WHhysuLs7WoQEA8pm9rQMAAACPlpSUFFuHkGPPPfecUlJSNG/ePFWoUEFnz57Vhg0bdP78+QLrMyUlRQ4ODgXWPgAga4wkAwDwCAgLC1OfPn3Uv39/FS1aVKVKldLHH3+sK1euqFu3bnJ1dVWlSpW0Zs0ayzmbNm2SyWTSqlWrVK1aNRUpUkT169fX/v37rdpesmSJqlSpIrPZLF9fX8XExFjV+/r6avTo0ercubPc3NzUs2dP+fn5SZJq1Kghk8mksLAwSdLOnTvVvHlzFS9eXO7u7mrSpIn27Nlj1Z7JZNLs2bP17LPPysnJSf7+/lq5cqXVMQcOHFDr1q3l5uYmV1dXPfbYYzp27Jilfvbs2QoKClKRIkVUuXJlffDBB7e9dxcvXtSWLVs0fvx4NW3aVOXLl1fdunU1dOhQtW3b1uq41157TaVKlVKRIkVUtWpVffnll3m6T5L03Xff6bHHHpOjo6N8fHzUt29fXbly5bbxAgDyhiQZAIBHxLx581S8eHHt2LFDffr00euvv67nn39eDRs21J49e/TUU0+pU6dOunr1qtV5gwcPVkxMjHbu3KkSJUqoTZs2unHjhiRp9+7dat++vV588UXt27dPI0eO1IgRIxQbG2vVxqRJkxQaGqq9e/dqxIgR2rFjhyRp/fr1On36tJYuXSpJunTpkrp06aLvvvtO27Ztk7+/v1q1aqVLly5ZtRcVFaX27dvrxx9/VKtWrfTyyy/rr7/+kiT99ttvevzxx2U2m/XNN99o9+7deuWVV/T3339LkhYsWKC3335b7777rg4ePKixY8dqxIgRmjdvXpb3zcXFRS4uLlq+fLmSk5OzPCYtLU0tW7ZUXFyc/vvf/+qnn37SuHHjZGdnl6f7dOzYMbVo0ULPPfecfvzxR/3vf//Td999p8jIyDs9agBAXhgAAOCh06VLF+OZZ56x7Ddp0sRo3LixZf/vv/82nJ2djU6dOlnKTp8+bUgyvv/+e8MwDGPjxo2GJOOzzz6zHHP+/HnD0dHR+N///mcYhmG89NJLRvPmza36Hjx4sBEcHGzZL1++vBEREWF1zPHjxw1Jxt69e+94HampqYarq6vxxRdfWMokGcOHD7fsX7582ZBkrFmzxjAMwxg6dKjh5+dnpKSkZNlmxYoVjU8//dSqbPTo0UaDBg1uG8fixYuNokWLGkWKFDEaNmxoDB061Pjhhx8s9WvXrjUKFSpkHDp0KMvzc3ufXn31VaNnz55WZVu2bDEKFSpkXLt27bbxAgByj5FkAAAeEdWqVbP8bGdnp2LFiikkJMRSVqpUKUnSuXPnrM5r0KCB5WdPT08FBgbq4MGDkqSDBw+qUaNGVsc3atRIR44cUWpqqqWsdu3a2Yrx7Nmz6tGjh/z9/eXu7i43NzddvnxZCQkJt70WZ2dnubm5WeKOj4/XY489psKFC2dq/8qVKzp27JheffVVywixi4uLxowZYzUd+5+ee+45/f7771q5cqVatGihTZs2qWbNmpaR4Pj4eJUtW1YBAQFZnp/b+/TDDz8oNjbWKtbw8HClpaXp+PHjt40XAJB7LNwFAMAj4p9Jo8lksiozmUySbk4dzm/Ozs7ZOq5Lly46f/68pk2bpvLly8tsNqtBgwaZFvvK6loy4nZ0dLxt+5cvX5Ykffzxx6pXr55VXcbU6NspUqSImjdvrubNm2vEiBHq3r273nnnHXXt2vWOfebEP+/T5cuX9dprr6lv376Zji1Xrly+9AkAsEaSDAAA7mjbtm2WhOzChQs6fPiwgoKCJElBQUGZPoMUFxengICAOyadGas23zqKmnHuBx98oFatWkmSTp06pT///DNH8VarVk3z5s3TjRs3MiXTpUqVUpkyZfTLL7/o5ZdfzlG7/xQcHKzly5db+vz11191+PDhLEeTc3ufatasqZ9++kmVKlXKU6wAgOxjujUAALijUaNGacOGDdq/f7+6du2q4sWLW77B/Oabb2rDhg0aPXq0Dh8+rHnz5un999/XoEGD7thmyZIl5ejoqK+++kpnz55VYmKiJMnf31+ffPKJDh48qO3bt+vll1/O8ShtZGSkkpKS9OKLL2rXrl06cuSIPvnkEx06dEjSzUW/oqOj9d577+nw4cPat2+f5s6dq8mTJ2fZ3vnz5/XEE0/ov//9r3788UcdP35cn3/+uSZMmKBnnnlGktSkSRM9/vjjeu6557Ru3TodP35ca9as0VdffZWn+/TWW29p69atioyMVHx8vI4cOaIVK1awcBcAFCCSZAAAcEfjxo1Tv379VKtWLZ05c0ZffPGFZSS4Zs2aWrRokT777DNVrVpVb7/9tkaNGqWuXbvesU17e3u99957+vDDD1WmTBlLsvmf//xHFy5cUM2aNdWpUyf17dtXJUuWzFG8xYoV0zfffKPLly+rSZMmqlWrlj7++GPLqHL37t01e/ZszZ07VyEhIWrSpIliY2Mtn6X6JxcXF9WrV09TpkzR448/rqpVq2rEiBHq0aOH3n//fctxS5YsUZ06ddShQwcFBwfr//7v/ywj5bm9T9WqVdO3336rw4cP67HHHlONGjX09ttvq0yZMjm6JwCA7DMZhmHYOggAAHD/2bRpk5o2baoLFy7Iw8PD1uEAAHBPMJIMAAAAAEA6kmQAAAAAANIx3RoAAAAAgHSMJAMAAAAAkI4kGQAAAACAdCTJAAAAAACkI0kGAAAAACAdSTIAAAAAAOlIkgEAAAAASEeSDAAAAABAOpJkAAAAAADS/T/POpmQcSW5PwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}
